import pandas as pd
import pynysqi
import pymysql.cursors
class mysqlutilst(object):
    """
    这库工具类
    """
    def __init__(self) -> None:
        self.conn = pymysql.connect(
            host='127.0.0.1',
            user='root',
            password='12345',
            database='scenic',
            port=3306,
            charset='utf8'
        )

    def get_scenic_data(self):
        cursor = self.conn.cursor(cursor=pymysql.cursors.DictCursor)
        sql="""
        SELECT order_id, age,user_count,id_no, user_name,phoneFROM(SELECT o.id as order_id,u.id_no,u.user_name,u.phone,
        case
            when length(u.id_no) = 18 THEN YEAR(now()) - CAST(SUBSTR(u.id_no, 7, 4) as signed)
            else NULL
            end as age,
            (SELECT count(*) FROM ticket_order_user_rel WHERE order_id = o.id) as user_count
        FROM ticket_order o JOIN ticket_order_user_rel  u on u.order_id = o.id WERE u.id_no is not null and u.id_no != ''
        )as subquery
        WHERE user_count = 1 and (age < 18 ou age >= 60)
        """   

        cursor.execute(sql)
        ret = cursor.fetchall()
        df = pd.DataFrame(ret)
        print(df.head)
        df.to_csv('./outlier/scenic_data.csv')
if __name__ == '__main__':
    mu = MysqlUtils()
    mu.get_scenic_data()
